10.6084/m9.figshare.6553952.v1 Laura Tipton Laura Tipton Karen Cuenco Karen Cuenco Laurence Huang Laurence Huang Ruth Greenblatt Ruth Greenblatt Eric Kleerup Eric Kleerup Frank Sciurba Frank Sciurba Steven Duncan Steven Duncan Michael Donahoe Michael Donahoe Alison Morris Alison Morris Elodie Ghedin Elodie Ghedin Additional file 2: of Measuring associations between the microbiota and repeated measures of continuous clinical variables using a lasso-penalized generalized linear mixed model Springer Nature 2018 Microbiota 16S ITS Repeated measures Continuous outcomes GLMM Lasso 2018-06-15 05:00:00 Journal contribution https://springernature.figshare.com/articles/journal_contribution/Additional_file_2_of_Measuring_associations_between_the_microbiota_and_repeated_measures_of_continuous_clinical_variables_using_a_lasso-penalized_generalized_linear_mixed_model/6553952 Figure S1. Additional OC-COPD associations between laboratory measurements and bacteria identified by LassoGLMM. Strong associations between bacteria and (a) percent neutrophils (O1), (b) partial pressure of oxygen PO2(O4) (c) SAT (O5), (d) alkaline phosphatase (O6), and (e) glucose (O10). Each horizontal grey line represents an individual. When a colored circle is located on the grey line, it is the relative abundance of that microbe for that subject. Perfect positive association between clinical variable and bacteria would form a line from the bottom-left to the top-right of the graph and would have a highly positive β coefficient in the LassoGLMM. Perfect negative association would form a line from the top-left to the bottom-right of the graph and would have a highly negative β coefficient. (PDF 287 kb)